
Thunderbit is an AI-powered Chrome extension designed to simplify web data extraction for business users, enabling data scraping from websites, PDFs, and images in two clicks. It uses natural language processing to suggest data fields and exports results to Google Sheets, Notion, or Airtable. Tailored for sales, marketing, e-commerce, and real estate professionals, it streamlines tasks like lead generation and competitor analysis.
Key features include “AI Suggest Columns,” which automatically identifies data fields like product names or prices, and “Subpage Scraping,” which extracts data from linked pages. The tool supports pre-built templates for platforms like Amazon, Instagram, and Shopify, reducing setup time. It also offers OCR for extracting text from images and PDFs, and integrates with productivity tools for seamless data management. A free tier is available, with paid plans for higher usage, though specific pricing requires visiting their website.
Thunderbit excels in ease of use, requiring no coding skills, unlike competitors such as Apify, which targets developers with robust scraping options, or ScrapingBee, which focuses on API-driven scraping with proxy support. User feedback on Product Hunt praises its intuitive interface and time efficiency, but some Trustpilot reviews note limitations, such as stalling during large-scale scraping of 100+ URLs.
The tool’s OCR capability for PDFs and images is a standout, enabling users to extract structured data from non-web sources. However, it may struggle with dynamic websites requiring extensive navigation, like those with infinite scroll. Pricing appears competitive for non-technical users, with a free-forever tier and flexible paid plans.
To get started, install the Chrome extension, sign up for a free account, and use the “Playground” to test features. Pre-built templates are ideal for beginners, while custom column options suit specific needs. For complex sites, check compatibility first, and refer to Thunderbit’s YouTube tutorials for guidance.
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